Mean-field theory of vector spin models on networks with arbitrary degree distributions (2022)
- Authors:
- Autor USP: PERON, THOMAS KAUÊ DAL'MASO - ICMC
- Unidade: ICMC
- DOI: 10.1088/2632-072X/ac4bed
- Subjects: REDES COMPLEXAS; SISTEMAS DINÂMICOS
- Keywords: spin models; phase transitions; nonlinear dynamics; Kuramoto model; synchronization; spin-glasses; random graphs
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Physics : Complexity
- ISSN: 2632-072X
- Volume/Número/Paginação/Ano: v. 3, n. 1, p. 1-24, Mar. 2022
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
METZ, Fernando L e PERON, Thomas. Mean-field theory of vector spin models on networks with arbitrary degree distributions. Journal of Physics : Complexity, v. 3, n. 1, p. 1-24, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac4bed. Acesso em: 30 mar. 2026. -
APA
Metz, F. L., & Peron, T. (2022). Mean-field theory of vector spin models on networks with arbitrary degree distributions. Journal of Physics : Complexity, 3( 1), 1-24. doi:10.1088/2632-072X/ac4bed -
NLM
Metz FL, Peron T. Mean-field theory of vector spin models on networks with arbitrary degree distributions [Internet]. Journal of Physics : Complexity. 2022 ; 3( 1): 1-24.[citado 2026 mar. 30 ] Available from: https://doi.org/10.1088/2632-072X/ac4bed -
Vancouver
Metz FL, Peron T. Mean-field theory of vector spin models on networks with arbitrary degree distributions [Internet]. Journal of Physics : Complexity. 2022 ; 3( 1): 1-24.[citado 2026 mar. 30 ] Available from: https://doi.org/10.1088/2632-072X/ac4bed - Structure and function in artificial, zebrafish and human neural networks
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